OpenAgent is a self-hostable personal AI assistant that combines language models, document-based retrieval, and autonomous agent loops. It lets people connect model providers and their own knowledge bases, then have agents browse the web, run code, use computers, and call MCP-compatible tools.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add the-open-agent/openagent --skill xurlgit clone --depth 1 https://github.com/the-open-agent/openagentWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/the-open-agent/openagent/xurl)<a href="https://agentmods.dev/skills/the-open-agent/openagent/xurl"><img src="https://agentmods.dev/badge/skills/the-open-agent/openagent/xurl/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/the-open-agent/openagent/xurl"><img src="https://agentmods.dev/badge/skills/the-open-agent/openagent/xurl.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 6 findings, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Tool Misuse · line 34 Tool calls are chained to bypass individual safety checks or escalate capabilities beyond what any single tool call would allow.Fix: Limit tool chaining depth and validate the output of each tool before passing it to the next. Require explicit user approval for multi-step chains.
- high Tool Misuse · line 306 Tool parameters are crafted to achieve unintended or unsafe behavior. Parameter abuse can bypass intended safety checks (e.g. shell=True, --force, dangerous glob patterns).Fix: Validate all tool parameters against an allowlist. Reject dangerous parameter values (shell=True, --force, -rf /) and use safe defaults.
- medium Excessive Agency · line 56 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
- medium Data Exfiltration · line 315 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Rogue Agent · line 375 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
- low Supply Chain · line 34 Remote code is downloaded and executed. This bypasses code review and could introduce malicious code.Fix: Avoid downloading and executing remote scripts. Use trusted packages from PyPI/npm. If remote fetch is required, verify checksums and use HTTPS.
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00057 | $0.03137 |
| Opus 5.5 | $0.00023 | $0.01255 |
| Sonnet 5.5 | $0.00011 | $0.00627 |
| Haiku 4.5 | $0.00006 | $0.00314 |
Grade C, and why
xurl scanned grade C with 2 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Downloads and executes remote codehighSupply chain
curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.
curl -fsSL https://raw.githubusercontent.com/xdevplatform/xurl/main/install.sh | bash Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
`xurl` is a CLI tool for the X API. It supports both **shortcut commands** (human/agent‑friendly one‑liners) and **raw curl‑style** access to any v2 endpoint. All commands return JSON to stdout. This is a copy
94% identical to xurl — 84 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 382 lines — stays where its author put it; the contents beside it link to each section on GitHub.
xurl — Agent Skill Reference
xurl is a CLI tool for the X API. It supports both shortcut commands (human/agent‑friendly one‑liners) and raw curl‑style access to any v2 endpoint. All commands return JSON to stdout.
Installation
Homebrew (macOS)
brew install --cask xdevplatform/tap/xurl
npm
npm install -g @xdevplatform/xurl
Shell script
curl -fsSL https://raw.githubusercontent.com/xdevplatform/xurl/main/install.sh | bash
Installs to ~/.local/bin. If it's not in your PATH, the script will tell you what to add.
Go
go install github.com/xdevplatform/xurl@latest
Prerequisites
This skill requires the xurl CLI utility: https://github.com/xdevplatform/xurl.
Before using any command you must be authenticated. Run xurl auth status to check.
Secret Safety (Mandatory)
- Never read, print, parse, summarize, upload, or send
~/.xurl(or copies of it) to the LLM context. - Never ask the user to paste credentials/tokens into chat.
- The user must fill
~/.xurlwith required secrets manually on their own machine. - Do not recommend or execute auth commands with inline secrets in agent/LLM sessions.
- Warn that using CLI secret options in agent sessions can leak credentials (prompt/context, logs, shell history).
- Never use
--verbose/-vin agent/LLM sessions; it can expose sensitive headers/tokens in output. - Sensitive flags that must never be used in agent commands:
--bearer-token,--consumer-key,--consumer-secret,--access-token,--token-secret,--client-id,--client-secret. - To verify whether at least one app with credentials is already registered, run:
xurl auth status.
Register an app (recommended)
App credential registration must be done manually by the user outside the agent/LLM session. After credentials are registered, authenticate with:
xurl auth oauth2
For multiple pre-configured apps, switch between them:
xurl auth default prod-app # set default app
xurl auth default prod-app alice # set default app + user
xurl --app dev-app /2/users/me # one-off override
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 382 lines · 57 tokens per session scan C 76faf0ab6b6e
xurl is a skill published in the GitHub repository the-open-agent/openagent (5,713 stars, last pushed 2d ago), licensed Apache-2.0. It adds 57 tokens to every session and 3,137 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it C with 2 findings (downloads and executes remote code, makes network calls). It is 94% identical to xurl, differing in 84 lines, and is treated as a copy.
Other skills, from other repositories
documents
Create, read, edit, review, comment on, sanitize, render, and validate Microsoft Word DOCX documents. Use whenever a DOCX or Word document is a primary input or deliverable, including reports, proposals, forms, templates, tracked revisions, comments, tables, images, headers, footers, and style-preserving edits.
Read, create, inspect, merge, split, rotate, encrypt, fill, and validate PDF files. Use when the user asks to work with a PDF or convert supported Markdown into a polished PDF in AstrBot.
skill-creator
Create, revise, and validate AstrBot Skills built around SKILL.md instruction bundles. Use when the user asks to create, scaffold, improve, package, or review a Skill for an AstrBot workspace, local installation, or plugin.
spreadsheets
Create, read, edit, analyze, convert, chart, and validate spreadsheet files including XLSX, XLSM, XLS, CSV, and TSV. Use when a spreadsheet is a primary input or deliverable, or when tabular data must remain editable and auditable in workbook form.
session-rag-eval
Run and debug Chatbox session attachment RAG model evaluation with synthetic and real long-file fixtures.
stripe-projects
Use after E2B sandbox/API access has been provisioned through Stripe Projects and the user needs to use the resulting E2B API key with the E2B CLI, JavaScript SDK, Python SDK, or Code Interpreter SDK.